Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Adjuvant
    Member
    • Sep 2010
    • 13

    minimus2 woes

    I'm trying to merge an alignment to a reference sequence and a de novo assembly using the same Illumina reads. It seems like minimus2 would be the right tool for the job, but every time I run it I get no overlaps and all the sequences just dump into singletons.seq. Just as a test, I tried assembling the alignment contigs to themselves (i.e. made a file with two copies of the alignment contigs, then performed alignment with minimus2) and again got no overlaps and all singletons!

    I'm already a little wary of this program since I had to go in and modify it for myself just to get it to run (I kept getting usage errors on dumpreads steps 12 and 13 until I moved $(BANK) after the -m/M options instead of before), but that's the only change I made. Is there some other glitch I don't know about?

    Any suggestions?

    Full disclosure: I didn't install qt3 when I installed amos since it wouldn't compile on OSX 10.6, but my impression is that's just for the viewers and minimus shouldn't depend on it.

    Thanks.
  • Adjuvant
    Member
    • Sep 2010
    • 13

    #2
    Never mind. I fixed it. It seems that at the ovl2OVL step (step 23), the output AMOS ovl file was empty. When I changed the extension of the AMOS ovl output file in minimus2 from .OVL to .ovl2, the output was no longer empty and the program (finally) worked like a charm. Maybe it's a Mac thing. I don't know, I'm just glad it's working. Sorry for for clogging up the forum here, but maybe my trial and error process can save somebody else some time and aggravation someday...

    Comment

    • ians
      Member
      • Aug 2011
      • 53

      #3
      This helped. Thanks for the reply.

      Comment

      Latest Articles

      Collapse

      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM
      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

        Here are nine questions we think about, in roughly the order they matter, before...
        06-18-2026, 07:11 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 07-02-2026, 11:08 AM
      0 responses
      18 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-30-2026, 05:37 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      54 views
      0 reactions
      Last Post SEQadmin2  
      Working...